SignalStack
Where the money flows · what the market says
backend · postgres   ·   11.001 listings
Time
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Active dictionary
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Hard term filter — click any term in panels to add
D1Confluence×D1Metabase×D1Lexware×D1Postgres×D1Excel×
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95 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 5(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
3900%
above baseline
Reg. pressure (D5 mentions)
9
across all listings in window
Top mover · D1
SAP
∞ (z=0.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

16/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

071420272021-052022-082023-112025-022026-05
ExcelLexwarePostgresDATEVConfluence

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
SAP100.0
Excel42099.0
DATEV5099.0
Confluence4099.0
Power BI300.0
Postgres24099.0
Jira300.0
Lexware26099.0
HubSpot200.0
Tableau100.0
Snowflake100.0
BigQuery100.0
Looker100.0
Metabase100.0
Lexoffice200.0

04Co-occurrence · top 20 pairs

Lift = P(A,B)/(P(A)·P(B)) · click to filter on both

Term ATerm BCountLift
Excelreporten81.81×
PostgresAPI81.98×
Postgresintegrieren61.98×
LexwareAPI61.37×
ExcelPflege41.51×
Excelintegrieren40.75×
Postgrespipeline42.64×
pipelineAPI43.96×
integrierenAPI41.98×
ConfluencePflege311.88×
ExcelPower BI32.26×
ConfluenceJira323.75×
automatisierenSchnittstelle314.25×
Lexwareintegrieren30.91×
PostgresDSGVO33.96×
Confluencereporten24.75×
reportenPflege23.17×
Excelanalysieren21.51×
Power BIanalysieren221.11×
DATEVPostgres21.58×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend